There that a few things that are pretty quickly identifiable when you take this data and create visual representations. First, you can easily identify the product that has had the highest sale numbers in the first four months of the year. Another thing that can be pretty quickly identified is the consistency of products. Finding out if a product has one really good month and then the sales don't hit the same numbers the other months could be good information on what products you might want to have a monthly special on. The two graphs I chose were a bar chart and a pie chart. The bar chart helps to compare the sales by month. This can be helpful to see what kind of consistent sales a product is having month over month. This could also help decide if maybe a product gets taken off the menu for the poorest preforming month. I chose the pie chart to help visualize the distribution of sales by product. This is the entire four months together. This will tell you your highest preforming products and which to focus the most energy on. I would want to use different visual representation based of my audience. For example, If I was creating a report or presentation for some investors I would likely use a line graph depicting total sales each month. This is because that audience will have little interest in which product is selling best, they just want to know the bottom line and are sales trending the right direction.

Answer the following in 1 paragraph:

• Do you think your peer's data visualization clarifies the data or makes it more confusing? Why, and how so?